Update app.py

app.py

@@ -12,9 +12,9 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 model.to(device)
 embedding_model = SentenceTransformer('AnnaWegmann/Style-Embedding', device='cpu').half()
-luar_model = AutoModel.from_pretrained("rrivera1849/LUAR-MUD", trust_remote_code=True).half()
+luar_model = AutoModel.from_pretrained("rrivera1849/LUAR-MUD", revision="51b0d9ecec5336314e02f191dd8ca4acc0652fe1", trust_remote_code=True).half()
 luar_model.to(device)
-luar_tokenizer = AutoTokenizer.from_pretrained("rrivera1849/LUAR-MUD", trust_remote_code=True)
+luar_tokenizer = AutoTokenizer.from_pretrained("rrivera1849/LUAR-MUD", revision="51b0d9ecec5336314e02f191dd8ca4acc0652fe1", trust_remote_code=True)
 
 
 def get_target_style_embeddings(target_texts_batch):